Genotypic Triggers: Exposing Pharmacogenomic Blind Spots via Host-Specific Backdoors in Generative Antimicrobial Peptide Models
q-bio.QM, cs.AI, cs.CL
Submitted: 2026-08-07
Updated: 2026-10-26
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Open-weight genome language model safeguards: Assessing robustness via adversarial fine-tuning
- Inference-Time Toxicity Mitigation in Protein Language Models
- PepCVAE: Semi-Supervised Targeted Design of Antimicrobial Peptide Sequences
- BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
- RITA: a Study on Scaling Up Generative Protein Sequence Models
- Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models
- GenoArmory: A Unified Evaluation Framework for Adversarial Attacks on Genomic Foundation Models
- Don't Trigger Me! A Triggerless Backdoor Attack Against Deep Neural Networks
- Backdoor Attacks on Discrete Graph Diffusion Models
- GeneBreaker: Jailbreak Attacks against DNA Language Models with Pathogenicity Guidance
- A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
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